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ORCIDKarsten Luebke
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- affiliation: FOM University of Applied Sciences, Dortmund, Germany
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2020 – today
- 2022
[j6]Kevin Cummiskey
, Karsten Lübke:
Causality in statistics and data science education. AStA Wirtschafts und Sozialstatistisches Arch. 16(3): 277-286 (2022)- [j5]Gero Szepannek, Karsten Lübke:
Explaining Artificial Intelligence with Care. Künstliche Intell. 36(2): 125-134 (2022) - [c7]Gero Szepannek, Laurens Martin Tetzlaff, Alexander Frahm, Karsten Lübke:
Teaching Machine Learning with mlr3 using Shiny. Teaching ML 2022: 42-45 - 2021
- [j4]Gero Szepannek, Karsten Luebke:
Facing the Challenges of Developing Fair Risk Scoring Models. Frontiers Artif. Intell. 4: 681915 (2021)
2010 – 2019
- 2014
- [c6]Karsten Luebke, Joachim Rojahn:
Firm-Specific Determinants on Dividend Changes: Insights from Data Mining. ECDA 2014: 335-344 - 2011
- [j3]Karsten Luebke, Claus Weihs:
Linear dimension reduction in classification: adaptive procedure for optimum results. Adv. Data Anal. Classif. 5(3): 201-213 (2011)
2000 – 2009
- 2006
- [c5]Irina Czogiel, Karsten Luebke, Marc Zentgraf, Claus Weihs:
Localized Linear Discriminant Analysis. GfKl 2006: 133-140 - [p2]Claus Weihs, Gero Szepannek, Uwe Ligges, Karsten Luebke, Nils Raabe:
Local Models in Register Classification by Timbre. Data Science and Classification 2006: 315-322 - 2005
- [j2]Karsten Luebke, Claus Weihs:
Improving feature extraction by replacing the Fisher criterion by an upper error bound. Pattern Recognit. 38(11): 2220-2223 (2005) - [c4]Gero Szepannek, Karsten Luebke, Claus Weihs:
Understanding Patterns with Different Subspace Classification. MLDM 2005: 110-119 - [p1]Claus Weihs, Uwe Ligges, Karsten Luebke, Nils Raabe:
klaR Analyzing German Business Cycles. Data Analysis and Decision Support 2005: 335-343 - 2004
- [j1]Karsten Luebke, Claus Weihs:
Generation of prediction optimal projection on latent factors by a stochastic search algorithm. Comput. Stat. Data Anal. 47(2): 297-310 (2004) - [c3]Nils Raabe, Karsten Luebke, Claus Weihs:
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results. GfKl 2004: 200-207 - [c2]Gero Szepannek, Karsten Luebke:
Different Subspace Classification. GfKl 2004: 224-231 - 2003
- [c1]Karsten Luebke, Claus Weihs:
Testing a Simulated Annealing Algorithm in a Classification Problem. SAGA 2003: 61-70
Coauthor Index
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